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The Machine Learning Engineer will create models to drive user and advertiser value at Snap. Responsibilities include evaluating technical trade-offs, conducting code reviews, and building scalable products quickly while maintaining quality. Collaboration and mentorship are key aspects of the role.
Configure and maintain Workday modules, provide process improvements, lead implementation projects, translate business needs into technical requirements, troubleshoot configuration issues, create reports, and support Workday releases.
Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
Lead a team in developing and optimizing personalized video recommendation engine, define architecture of content recommender system, drive rapid iteration, evaluate technical tradeoffs, perform design and code reviews.
Snap Inc is seeking a Machine Learning Engineer with 5+ years of experience to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Required skills include strong understanding of machine learning algorithms, ability to prioritize tasks, collaboration skills, and problem-solving abilities.
Snap Inc. is seeking a Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. The engineer should have a strong understanding of machine learning algorithms and frameworks, prioritize duties, and collaborate effectively with internal and external partners.
Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, build lasting products, and iterate quickly without compromising quality. Strong collaboration and mentorship skills are required.
Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology, provide technical direction, and advocate for best practices.
Design, implement, and scale critical machine learning components and services for Snap's strategic initiatives. Develop a next-generation training framework, optimize model performance, and create an AutoML platform. Collaborate across teams to deliver innovative products and advocate for best practices in availability, scalability, and cost management. Provide technical direction influencing the entire company.
Drive the technical roadmap of the Ad Ranking team, design and scale machine learning models, collaborate with cross-functional teams, stay updated with latest ML technology, advocate for best practices, and provide technical direction.
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